Research output per year
Research output per year
Organisation profile
Organisation profile
The Institute for Adaptive and Neural Computation (ANC) studies brain processes and artificial learning systems, theoretically and empirically, drawing on the disciplines of neuroscience, cognitive science, computer science, computational science, mathematics and statistics.
ANC was formed in 1998 when the School of Informatics was created out of five previous departments and centres. ANC evolved from Prof. David Willshaw's research group, the Centre for Neural Systems, originally part of the Centre for Cognitive Science.
ANC fosters the study of adaptive processes in both artificial and biological systems. It encourages interdisciplinary and collaborative work involving the traditional disciplines of neuroscience, cognitive science, computer science, computational science, mathematics and statistics.
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Dive into the research topics where Institute for Machine Learning is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Douglas Armstrong
- School of Informatics - Personal Chair in Systems Neurobiology
- Institute for Machine Learning
- Edinburgh Neuroscience
- Data Science and Artificial Intelligence
Person: Academic: Research Active
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Mat Bieniek
- School of Informatics - Research Software Engineer
- Institute for Machine Learning
Person: Academic: Research Active , Non-Academic: Research Active
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Piyush Borole
- School of Informatics - Data Scientist
- Institute for Machine Learning
Person: Non-Academic: Research Active
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Multi-pathway feature-level interpretability in MHC-I antigen presentation via concept-based modeling
Borole, P., Boulanger, D. & Rajan, A., Sept 2026, In: Methods. 253, p. 107-114 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Integrated technologies of care: Proof-of-concept study on an integrated physiological and activity monitoring system to enhance independence and care
Contreras, R., Saied, I., Long-fei, C., Yang, F., Farič, N., Smola, F., Alzaabi, A., Anwar, U., Mitra, S., Ramamoorthy, S., Fisher, R. B., Arslan, T., Hillston, J. & Fleuriot, J. D., 22 Aug 2026, (E-pub ahead of print) In: Scientific Reports. p. 1-29 29 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A sobering look at tabular data generation via probabilistic circuits
Scassola, D., Ponsford, D., Javaloy, A., Saccani, S., Bortolussi, L., Gouk, H. & Vergari, A., 6 Aug 2026, Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence. PMLR, Vol. 337. p. 6026-6063 38 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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Metaphors of the Mind from History, Music and Contemporary Neuroscience: Implications for Clinical Practice
Adshead, G. (Chair), Tracy, D. (Speaker), Series, P. (Speaker) & Polnay, A. (Speaker)
18 Jun 2024Activity: Academic talk or presentation types › Oral presentation
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Sociodemographic and early-life predictors of obesity in a middle-aged UK population– a retrospective cohort study of the 1958 National Child Development Survey participants
Nightingale, G. (Contributor), Wild, S. (Contributor), Seth, S. (Contributor), Mohan, K. (Contributor) & Frank, J. (Contributor)
1 May 2024Activity: Academic talk or presentation types › Oral presentation
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The New Real Salon Showcase
Hemment, D. (Advisor), Vidmar, M. (Advisor), Harvey, A. (Artist), Camara Leret, I. (Artist), MacNeill, K. (Artist), McGregor, A. (Contributor), Walsh, M. (Contributor), Seth, S. (Contributor), Panas, D. (Contributor), Antonioletti, M. (Contributor), Morgan, E. (Contributor), Galanos, V. (Contributor), Sarimento, D. (Contributor), Koppel, K. (Contributor) & Fooshee, J. A. (Contributor)
29 Oct 2023Activity: Participating in or organising an event types › Public Engagement – Festival/Exhibition
Prizes
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Best Demo Paper
Eshraghian, J. (Recipient), Wu, H. (Recipient) & Nazarpour, K. (Recipient), 25 Nov 2020
Prize: Other distinctions
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Best Student Paper Award
Wu, H. (Recipient), Yang, Y. (Recipient), Bagnaninchi, P. (Recipient) & Jia, J. (Recipient), 2017
Prize: Prize (including medals and awards)
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Best Student Poster Award
Wu, H. (Recipient), Yang, Y. (Recipient), Bagnaninchi, P. (Recipient) & Jia, J. (Recipient), 2018
Prize: Prize (including medals and awards)
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Efficient AI for Novel Devices through Neural Architecture Search
Gouk, H. (Principal Investigator), Crowley, E. (Co-investigator) & Crowley, E. (Co-investigator)
Engineering and Physical Sciences Research Council
5/01/26 → 4/10/26
Project: Research
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A Machine-Learning Platform for Data-Efficient Drug Discovery
Qiu, J. (Principal Investigator), Seth, S. (Co-investigator) & Panas, D. (Co-investigator)
1/02/25 → 31/01/27
Project: Research
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Engineered Genetic Control Systems for Advanced Therapeutics
Rosser, S. (Principal Investigator), Baker, A. (Co-investigator), Oyarzun, D. (Co-investigator), Stracquadanio, G. (Co-investigator), Calvert, J. (Co-investigator), Smith, R. (Co-investigator) & Pollard, S. (Co-investigator)
13/05/24 → 12/05/29
Project: Research
Datasets
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Algal phospho- and protein rhythms mass spec data
Imrie, L. (Creator), Millar, A. (Creator), Noordally, Z. (Creator), Hindle, M. (Creator), Martin, S. (Creator), Seaton, D. (Creator), Simpson, I. (Creator), Le Bihan, T. (Creator), Imrie, L. (Data Manager) & Imrie, L. (Owner), Edinburgh DataVault, 2019
DOI: 10.7488/8a96caae-db2a-42c5-9361-e366faa26e3f, https://www.ebi.ac.uk/pride/archive/
Dataset
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The Obesity and Fast Food Project - Bivariate and Univariate Maps
Nightingale, G. (Owner), Self, K. (Creator), McGarva, G. (Creator), Williams, A. (Owner), Nightingale, P. (Owner), Cecil, J. (Owner) & Seth, S. (Owner), GitHub, 30 Jun 2026
https://github.com/glenna-nightingale/obesity-and-fast-food
Dataset
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ManySStuBs4J Dataset
Karampatsis, R. M. (Creator) & Sutton, C. (Creator), Zenodo, 7 Feb 2020
DOI: 10.5281/zenodo.3653444, https://zenodo.org/record/3653444 and one more link, https://arxiv.org/abs/1905.13334v1 (show fewer)
Dataset
Press/Media
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Christopher Clark and Amos Storkey apply new algorithms to ancient Chinese game 'Go'
Clark, C. & Storkey, A.
15/12/14
2 items of Media coverage
Press/Media: Research
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Dr Matthias Hennig and Dr James Bednar raise concerns over leadership of Human Brain Project
Hennig, M. & Bednar, J.
9/07/14
1 item of Media coverage
Press/Media: Expert Comment
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Professor David Willshaw comments on Edinburgh supercomputer project
Willshaw, D.
25/01/12
1 item of Media coverage
Press/Media: Expert Comment